Schedule
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EventDateDescriptionCourse Material
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Lecture09/10/2025
WednesdayIntroduction[Slides]Suggested Readings:
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Lecture09/17/2025
WednesdayStatistical Learning[Slides]Suggested Readings:
- Lab
- ISLP Chapter 2
- ESL Chapter 2
- Foundations of Data Science Chapter 2
- Recorded video
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Lecture09/24/2025
WednesdayRegression[Slides]Suggested Readings:
- Lab
- ISLR Chapter 3
- ESL Chapter 3.1~3.3
- PSDS Chapter 4 and Chapter 3
- Ch4 in seeing theory/Ch5 in OpenIntro Statistics/p-value and hypothesis testing in statquest/04-05 in 統計學
- Recorded video
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Lecture10/01/2025
WednesdayClassification[Slides]Suggested Readings:
- Lab
- ISLR Chapter 4
- ESL Chapter 4
- PSDS Chapter 5 and Chapter 2
- Ch3 and ch5 in seeing theory/Distribution and Bayes theorem in statquest/3Blue1Brown
- Recorded video
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Assignment10/06/2025
MondayAssignment #1 released! -
Lecture10/08/2025
WednesdayResampling Methods[Slides]Suggested Readings:
- Lab
- ISLR Chapter 5
- ESL Chapter 7.1-7.4 and 7.10-7.11
- PSDS Chapter 3
- Recorded video
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Lecture10/15/2025
WednesdayLinear model selection and regularization[Slides]Suggested Readings:
- Lab
- ISLR Chapter 6
- ESL Chapter 7.1-7.7, Chapter3.3-3.4
- PSDS Chapter 4
- [Midterm 2023]
- [Midterm 2022]
- [Midterm 2021]
- [Midterm 2020 (courtesy of professor Mei-Hui Guo)]
- Recorded video
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Due10/20/2025 23:59
MondayAssignment #1 due -
Lecture10/22/2025
WednesdayLinear model selection and regularization[Slides]Suggested Readings:
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Exam10/29/2025 09:10
WednesdayMidterm[Notice] -
Exam11/05/2025 09:10
WednesdayMidterm[Notice]
